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ICASSP
2008
IEEE
15 years 7 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 5 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 4 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
104
Voted
SIGIR
2010
ACM
15 years 4 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
145
Voted
ATAL
2006
Springer
15 years 4 months ago
A computer-supported cooperative learning system with multiagent intelligence
In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multia...
Leen-Kiat Soh, Nobel Khandaker, Xuliu Liu, Hong Ji...